---
title: What is container orchestration?
url: https://www.vmware.com/topics/container-orchestration
description: Learn how container orchestration automates the management, deployment, and scaling of containerized apps across infrastructure resources.
---

## Recommended for You

# What is container orchestration?

Container orchestration is the automated management of containerized applications across a cluster of infrastructure resources. It enables organizations to deploy, schedule, scale, network, and manage containers consistently without requiring administrators to manually coordinate individual application instances.

As organizations adopt containers at scale, manually managing hundreds or thousands of containerized [workloads](https://www.vmware.com/topics/workload) quickly becomes impractical. Container orchestration automates routine operational tasks such as [application deployment](https://www.vmware.com/topics/application-deployment), scaling, [load balancing](https://www.vmware.com/topics/load-balancing), service discovery, and failure recovery, allowing applications to remain available and responsive as demand changes.

By replacing manual operations with intelligent automation, container orchestration helps organizations improve operational efficiency, increase application resiliency, and provide a consistent platform for running modern applications across [private cloud](https://www.vmware.com/topics/private-cloud), [public cloud](https://www.vmware.com/topics/public-cloud), and [edge](https://www.vmware.com/topics/edge-cloud) environments.

## Why container orchestration matters

Containers simplify application packaging and deployment, but operating them at scale introduces new challenges. As organizations adopt [microservices](https://www.vmware.com/topics/microservices) and modern application architectures, the number of [containers](https://www.vmware.com/topics/containers), services, and infrastructure resources can grow rapidly, making manual management inefficient and error-prone.

Container orchestration addresses these challenges by automating the operational tasks required to keep applications running reliably. Instead of manually deploying containers, tracking resource utilization, or recovering from failures, organizations can define the desired state of their applications, and the orchestration platform continuously works to maintain it.

This automation enables organizations to deliver applications more quickly, improve resiliency, and scale workloads dynamically while reducing operational complexity. As a result, platform teams can focus on optimizing application platforms and developer experiences rather than managing day-to-day infrastructure operations.

## How container orchestration works

Container orchestration platforms automate the lifecycle of containerized applications by continuously monitoring their state and making adjustments to maintain the desired application configuration. Rather than manually managing individual containers, administrators define how applications should run, and the orchestration platform automatically works to achieve and maintain that state.

To accomplish this, container orchestration platforms automate several key operational tasks:

- **Application deployment:** Automatically deploys containerized applications across available infrastructure based on defined resource requirements and policies.
- **Scheduling and resource management:** Places application workloads on the most appropriate infrastructure resources while optimizing CPU, memory, and overall resource utilization.
- **Scaling and self-healing:** Automatically scales applications in response to changing demand and replaces failed application instances to maintain availability.
- **Networking and service discovery:** Enables applications to communicate reliably by managing networking, load balancing, and service discovery as application instances are created, updated, or removed.
- **Lifecycle management:** Simplifies application updates by automating rolling updates, rollbacks, and other lifecycle operations while minimizing application downtime.

## Kubernetes and container orchestration

Container orchestration is the practice of automating the deployment, scaling, networking, and lifecycle management of containerized applications. [Kubernetes](https://www.vmware.com/topics/kubernetes) is the industry-standard open source platform that provides these container orchestration capabilities at enterprise scale.

By using a declarative management model, Kubernetes continuously monitors application workloads and works to maintain their desired state. It automates operational tasks such as scheduling applications, scaling workloads, managing service discovery, balancing traffic, and recovering from failures, allowing organizations to operate modern applications more efficiently.

Because of its broad ecosystem, extensibility, and widespread industry adoption, Kubernetes has become the leading platform for container orchestration across private cloud, public cloud, and edge environments.

## Container orchestration use cases

Organizations use container orchestration to simplify application operations, improve developer productivity, and deliver modern applications at scale. By automating application deployment and lifecycle management, orchestration platforms provide the operational foundation for a wide range of enterprise workloads.

- **Application modernization:** Container orchestration enables organizations to [modernize existing applications](https://www.vmware.com/topics/application-modernization) by simplifying deployment, scaling, and lifecycle management while supporting a gradual transition to modern application architectures.
- **Platform engineering:** [Platform engineering](https://www.vmware.com/topics/platform-engineering) teams use container orchestration to build Internal Developer Platforms (IDPs) that provide developers with standardized, self-service application environments while maintaining enterprise governance and operational consistency.
- **AI and machine learning applications:** Container orchestration helps organizations deploy and manage AI and machine learning workloads by automating application scheduling, resource allocation, and lifecycle management across distributed infrastructure.
- **Development and [CI/CD](https://www.vmware.com/topics/cicd) pipelines:** Development teams use container orchestration to create consistent environments for building, testing, and deploying applications, helping accelerate software delivery while reducing deployment inconsistencies across environments.
- **Large-scale application platforms:** Enterprises rely on container orchestration to operate distributed applications across production environments, automating scaling, resiliency, and application updates while simplifying day-to-day operations.

## Container orchestration enterprise considerations

While container orchestration delivers significant operational benefits, moving from a proof of concept to managing production workloads at scale introduces new operational complexities. Organizations must design their platforms to support security, governance, lifecycle management, and observability across increasingly dynamic application environments.

- **Lifecycle management:** Operating containerized applications at scale requires managing the lifecycle of both the orchestration platform and the underlying infrastructure. Organizations must plan for cluster upgrades, infrastructure maintenance, and application updates while minimizing disruption to running workloads.
- **Security and compliance:** Enterprise container platforms require security across the entire application lifecycle, from securing container images and controlling network access to protecting runtime environments and enforcing identity and access policies.
- **Full-Stack observability:** As workloads scale dynamically, organizations need centralized visibility into infrastructure utilization, network traffic, and application performance to quickly identify and resolve issues before they affect application availability.
- **Advanced networking:** Distributed applications require secure networking, service discovery, ingress routing, and load balancing that can scale alongside application workloads.
- **Governance and policy control:** Organizations need consistent policies for resource allocation, access control, and operational standards across multiple development teams. Centralized governance helps maintain security, compliance, and operational consistency as application platforms evolve.

## Container orchestration benefits

Container orchestration enables organizations to operate containerized applications more efficiently by automating deployment, scaling, networking, and lifecycle management. As application environments grow, orchestration platforms help reduce operational complexity while improving resiliency and consistency across the application platform.

### Operational efficiency

- [Infrastructure automation:](https://www.vmware.com/topics/infrastructure-automation): Automates routine operational tasks such as application deployment, scheduling, scaling, and lifecycle management, reducing manual effort while improving operational consistency.
- **Resource optimization:** Dynamically allocates workloads based on available infrastructure resources, helping organizations maximize utilization while maintaining application performance.

### Application resiliency

- **Self-Healing applications:** Continuously monitors application health and automatically replaces failed application instances to help maintain availability and reduce service disruptions.
- **Dynamic scalability:** Automatically adjusts application capacity in response to changing demand, ensuring applications remain responsive during traffic spikes while optimizing resource consumption during periods of lower utilization.

### Developer agility

- **Consistent application delivery:** Standardized deployment workflows help development teams deliver applications more quickly while reducing configuration drift across development, testing, and production environments.
- **Declarative operations:** Enables teams to define the desired state of applications while allowing the orchestration platform to continuously maintain that state through intelligent automation.

## How VMware products can help

[VMware vSphere Kubernetes Service (VKS)](https://www.vmware.com/products/cloud-infrastructure/vsphere-kubernetes-service) is the CNCF-certified Kubernetes runtime built directly into [VMware Cloud Foundation (VCF)](https://www.vmware.com/products/cloud-infrastructure/vmware-cloud-foundation) to run all modern apps. VKS is among the first platforms certified under the new CNCF Kubernetes AI Conformance Program. VKS enables platform engineers to easily deploy, manage, and scale [Kubernetes clusters](https://www.vmware.com/topics/kubernetes-cluster) while leveraging a comprehensive set of cloud services included in VCF, as well as all CNCF-conformant third-party services.

## Recommended for You

- [Kubernetes](https://www.vmware.com/topics/kubernetes)
- [Kubernetes Architecture](https://www.vmware.com/topics/kubernetes-architecture)
- [Containers](https://www.vmware.com/topics/containers)

## Related Products and Solutions

- [VMware vSphere Kubernetes Service](https://www.vmware.com/products/cloud-infrastructure/vsphere-kubernetes-service)
- [VMware Cloud Foundation](https://www.vmware.com/products/cloud-infrastructure/vmware-cloud-foundation)
- [VMware Cloud Foundation Automation](https://www.vmware.com/products/cloud-infrastructure/vcf-automation)

## Also of Interest

- [What is Platform Engineering?](https://www.vmware.com/topics/platform-engineering)
- [What is Cloud Orchestration?](https://www.vmware.com/topics/cloud-orchestration)
- [Kubernetes vs. Docker](https://www.vmware.com/topics/kubernetes-vs-docker)